An On-Line Method to Evolve Behavior and to Control a Miniature Robot in Real Time with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@Article{nordin:1996:AB,

• author = "Peter Nordin and Wolfgang Banzhaf",
• title = "An On-Line Method to Evolve Behavior and to Control a Miniature Robot in Real Time with Genetic Programming",
• journal = "Adaptive Behavior",
• year = "1996",
• volume = "5",
• number = "2",
• pages = "107--140",
• month = "Fall",
• keywords = "genetic algorithms, genetic programming, real-time control, stimulus-response behavior, obstacle avoidance, online evolution, stochastic sampling",
• URL = "http://web.cs.mun.ca/~banzhaf/papers/adapt_behav.ps.gz",
• URL = "http://citeseer.ist.psu.edu/566481.html",
• size = "36 pages",
• abstract = "We present a novel evolutionary approach to robotic control of a real robot based on genetic programming (GP). Our approach uses GP techniques that manipulate machine code to evolve control programs for robots. This variant of GP has several advantages over a conventional GP system, such as higher speed, lower memory requirements, and better real-time properties. Previous attempts to apply GP in robotics use simulations to evaluate control programs and have difficulties with learning tasks involving a real robot. We present an on-line control method that is evaluated in two different physical environments and applied to two tasks--obstacle avoidance and object following--using the Khepera robot platform. The results show fast learning and good generalization.",
• notes = "http://www.isab.org/journal/adap5_2.php#Pages%20107-140",

}

Genetic Programming entries for Peter Nordin Wolfgang Banzhaf

Citations